Corrado Iannucci, Luca Congedo, Michele Munafò on "Urban sprawl indicators and spatial planning: the data interoperability in INSPIRE and Plan4all"

1. INPUT 2012 – Cagliari, 11 May 2012
by Corrado Iannucci1, Luca Congedo2, Michele Munafò3
1 Sapienza University, Rome, Italy.
2 DICEA Department of Civil, Constructional and Environmental Engineering, Sapienza University, Rome, Italy.
3 ISPRA Italian National Institute for Environmental Protection and Research, Rome, Italy.

2. The monitoring of Land Use/Land Cover (LULC) changes is a
primary need for Spatial Planning.
The assessment of LULC changes requires the use of various data
sources and spatial analysis.
Spatial phenomena like urban sprawl, often concern several
administrative entities and levels.
Therefore Spatial Planning processes need to share homogeneous
spatial data, coming from different administrations.
This study analyses the data interoperability issue in the context of
INSPIRE Directive and Plan4all Project.

3. • Introduction
• Spatial Data Infrastructures
• Urban sprawl
• Landscape Metrics Indices
• INSPIRE Directive
• Plan4all Project
• Data models: application schemas
• Conclusions

4. • Spatial Data and Planning
• Data Interoperability
• Themes
• Metadata
• Administrative levels
• Data heterogeneity
• Formats and types
• Conceptual data models
• Aggregation levels
• Classifications rules
• Multitemporal data
Adapted From: Tóth, K., et al. (2012) A Conceptual Model for Developing Interoperability
Specifications in Spatial Data Infrastructures European Commission, European Commission JRC

5. • Cross-theme interoperability
• Data quality
• Data sharing services
• Discovering
• Viewing
• Downloading
• Data interoperability in SDI
• Definition of data specifications:
• data models
• metadata profiles

6. • Evolution of cities: «egg analogy»
• Urban sprawl: unplanned, low-density urban expansion
• impacts on natural resources
• impacts on people’s livelihoods
• Monitoring urban sprawl: Landscape Metrics Indices
From: Vancutsem D. (2011), Spatial planning and ICT, in Salvemini M., Vico F. and Iannucci C. , eds., Interoperability for spatial planning,
Plan4all Project, Brussels BE.

7. Formula Unit
ha
%
n°
ha
m/ha
n°
[1 , ∞]
n°
[1 , 2]
From: McGarigal K. and Marks B. J. (1995), FRAGSTATS: Spatial Pattern Analysis Program for Quantifying Landscape Structure. USDA Forest Service GTR PNW-351.

8. Directive 2007/2/EC of the European Parliament and of the
Council of 14 March 2007 establishing an Infrastructure for
Spatial Information in the European Community (INSPIRE)
• Interoperability
• Reuse of old data
• 34 data themes
Implementing Rules
Fully mandatory mandatory
adopted for new for old
data data
end-2012 2014 2019
http://inspire.jrc.ec.europa.eu

9. “A Conceptual Model for Developing Interoperability
Specifications in Spatial Data Infrastructures”
• conceptual framework of INSPIRE
http://inspire.jrc.ec.europa.eu/documents/Data_Specifications/IES_Spatial_Da
ta_Infrastructures_(online).pdf

10. • Co-funded by the Community programme eContentplus
• Objective:
• build spatial planning data models and metadata profiles according to
the INSPIRE principles
• focus on spatial planning as a whole process
• Concluded in 2011
http://www.plan4all.eu

11. “Plan4all Project, Interoperability for Spatial Planning”
• Excursus of the work
• Achievements
http://www.plan4all.eu/extractor/fileReader.php?file=plan4all-book-web.pdf

12. Annex I • 17. Land use
• 1. Coordinate reference systems • 18. Human health and safety
• 2. Geographical grid systems • 19. Utility and governmental services
• 3. Geographical names • 20. Environmental monitoring facilities
• 4. Administrative units • 21. Production and industrial facilities
• 5. Addresses • 22. Agricultural and aquaculture facilities
• 6. Cadastral parcels • 23. Population distribution – demography
• 7. Transport networks • 24. Area management/restriction/regulation
• 8. Hydrography zones & reporting units
• 9. Protected sites • 25. Natural risk zones
Annex II • 26. Atmospheric conditions
• 10. Elevation • 27. Meteorological geographical features
• 11. Land cover • 28. Oceanographic geographical features
• 12. Ortho-imagery • 29. Sea regions
• 13. Geology • 30. Bio-geographical regions
Annex III • 31. Habitats and biotopes
• 14. Statistical units • 32. Species distribution
• 15. Buildings • 33. Energy Resources
• 16. Soil • 34. Mineral resources

13. Annex I • 17. Land use
• 1. Coordinate reference systems • 18. Human health and safety
• 2. Geographical grid systems • 19. Utility and governmental services
• 3. Geographical names • 20. Environmental monitoring facilities
• 4. Administrative units • 21. Production and industrial facilities
• 5. Addresses • 22. Agricultural and aquaculture facilities
• 6. Cadastral parcels • 23. Population distribution – demography
• 7. Transport networks • 24. Area management/restriction/regulation
• 8. Hydrography zones & reporting units
• 9. Protected sites • 25. Natural risk zones
Annex II • 26. Atmospheric conditions
• 10. Elevation • 27. Meteorological geographical features
• 11. Land cover • 28. Oceanographic geographical features
• 12. Ortho-imagery • 29. Sea regions
• 13. Geology • 30. Bio-geographical regions
Annex III • 31. Habitats and biotopes
• 14. Statistical units • 32. Species distribution
• 15. Buildings • 33. Energy Resources
• 16. Soil • 34. Mineral resources

14. • INSPIRE Planned Land Use application schema
1
2 3

15. • Simplified UML view of the Plan4all Land Use data model
2
1
3
From: Camerata F. , Čerba O., Del Fatto V., Sebillo M. and Vico F. (2011), Plan4all Data Models Definitions,
in Salvemini M., Vico F. and Iannucci C., eds. (2011), Interoperability for Spatial Planning, Plan4all Project, Brussels BE.

16. Conceptual
models
Urban
Local
Data SDI
Data and Interoperability
Sprawl Harmonization among models
Indicators
Data
National
Specifications
data
Flexible
Data specifications
International
Transformation
data
Interoperability
Need for
testing
Planning
Open data Web publishing Services
processes

17. Thank you for your attention.